ST32
基于（英蓓特）STM32V100的EXTI程序
This example shows how to configure an external interrupt line.
In this example, the EXTI line 9 is configured to generate an interrupt on each
falling edge. In the interrupt routine a led connected to PC.06 is toggled.
This led will be toggled due to the softawre interrupt generated on EXTI Line9
then at each falling edge.
We propose a technique that allows a person to design a new photograph
with substantially less effort. This paper presents a method that generates a composite image when a user types
in nouns, such as “boat” and “sand.” The artist can optionally design an intended image by specifying other
constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image
database. The desired photograph, not a collage, is then synthesized using graph-cut optimization, optionally
allowing for further user interaction to edit or choose among alternative generated photos. An implementation of
our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific
images with minimal human effort, and (2) a combined algorithm for automatically building an image library with
semantic annotations from any photo collection.
Range imaging offers an inexpensive and accurate means for
digitizing the shape of three-dimensional objects. Because most
objects self occlude, no single range image suffices to describe the
entire object. We present a method for combining a collection of
range images into a single polygonal mesh that completely describes
an object to the extent that it is visible from the outside.
The DHRY program performs the dhrystone benchmarks on the 8051.
Dhrystone is a general-performance benchmark test originally
developed by Reinhold Weicker in 1984. This benchmark is
used to measure and compare the performance of different
computers or, in this case, the efficiency of the code
generated for the same computer by different compilers.
The test reports general performance in dhrystones per second.
Like most benchmark programs, dhrystone consists of standard
code and concentrates on string handling. It uses no
floating-point operations. It is heavily influenced by
hardware and software design, compiler and linker options,
code optimizing, cache memory, wait states, and integer
data types.
The DHRY program is available in different targets:
Simulator: Large Model: DHRY example in LARGE model
for Simulation
Philips 80C51MX: DHRY example in LARGE model
for the Philips 80C51MC
Please read this document before attempting to compile and run the libraries and applications! The projects
must be compiled in a particular order. Standard support questions are about compiler and/or linker errors
that are generated when users try to compile the projects in the wrong order. Other information of interest
is available here, so read the entire document fi rst.
Wild Magic Version 2.1 is what ships with the fi rst printing of the Game Physics book. Some of the
applications that are referenced in the book did not make it onto the CD–ROM for the book. Version 2.2
contains those applications, plus more
本人大二學習匯編語言程序設計時的全部源代碼，均已經編譯通過生成可執行文件，每個目錄是一個程序。希望對學習匯編語言的同志有所幫助。-my sophomore year learning assembly language programming at all the source code, have already generated by compiler executable files, each directory is a process. Want to learn assembly language comrades help.
This function calculates Akaike s final prediction error
％ estimate of the average generalization error for network
％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
％ counterparts.
％
％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat)
％ produces the final prediction error estimate (fpe), the effective number
％ of weights in the network if it has been trained with weight decay,
％ an estimate of the noise variance, and the Gauss-Newton Hessian.
％
observable distribution grid are investigated. A distribution
grid is observable if the state of the grid can be fully determined.
For the simulations, the modified 34-bus IEEE test feeder is used.
The measurements needed for the state estimation are generated
by the ladder iterative technique. Two methods for the state
estimation are analyzed: Weighted Least Squares and Extended
Kalman Filter. Both estimators try to find the most probable
state based on the available measurements. The result is that
the Kalman filter mostly needs less iterations and calculation
time. The disadvantage of the Kalman filter is that it needs some
foreknowlegde about the state.
